Measuring the Service Quality of Urban Rail Transit Based on Interval-Valued Intuitionistic Fuzzy Model

2019 ◽  
Vol 24 (2) ◽  
pp. 647-656 ◽  
Author(s):  
Yuning Wang ◽  
Ye Shi
Keyword(s):  
Service Quality ◽  
Fuzzy Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Intuitionistic Fuzzy ◽  
Urban Rail ◽  
Interval Valued

scholarly journals URBAN RAIL TRANSIT PASSENGER SERVICE QUALITY EVALUATION BASED ON THE KANO–ENTROPY–TOPSIS MODEL: THE CHINA CASE

Transport ◽  
2021 ◽  
Vol 0 (0) ◽  
pp. 1-12
Author(s):  
Wencheng Huang ◽  
Yue Zhang ◽  
Yifei Xu ◽  
Rui Zhang ◽  
Minhao Xu Xu ◽  
...  
Keyword(s):  
Service Quality ◽  
Quality Indicators ◽  
Quality Indicator ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Kano Model ◽  
Transit System ◽  
Urban Rail ◽  
The Difference ◽  
Topsis Model

In order to evaluate the URTPSQ (Urban Rail Transit Passenger Service Quality) comprehensively, find the shortage of URTPSQ, find out the difference between the actual service situation and the passenger’s expectation and demand,and provide passengers with better travel services, a passenger-oriented KANO–Entropy–TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method is proposed and applied in this paper. Firstly, a KANO model is applied to select the service quality indicators from the 24 URTPSQ evaluation sub-indicators, according to the selection results, the KANO service quality indicators of URTPSQ are constructed. Then the sensitivity of the KANO service quality indicators based on the KANO model are calculated and ranked, the PS (Passenger Satisfaction) of each KANO service quality indicator by using the Entropy–TOPSIS method is calculated and ranked. Based on the difference between the sensitivity degree rank and the satisfaction degree rank of each KANO service quality indicator, determine the service quality KANO indicators of the URTPSQ that need to be improved significantly. A case study is conducted by taking the Chengdu subway system in China as a background. The results show that the Chengdu subway operation enterprises should pay attention to the must-be demand first, then the one-dimensional demand, finally the attractive demand. The three indicators, including transfer on the same floor in the station, service quality of staffs of urban rail transit enterprises,and cleanness in the station and passenger coach, need to be improved urgently. For the managers and operators of urban rail transit system, the passengers’ must-be demand should be satisfied first if the KANO model is applied to evaluate the service. The indicators with highest sensitivity degree and lowest TOPSIS value should be improved based on the KANO–Entropy–TOPSIS model.

scholarly journals Design a Semantic Scale for Passenger Perceived Quality Surveys of Urban Rail Transit: Within Attribute’s Service Condition and Rider’s Experience

2020 ◽  
Vol 12 (20) ◽  
pp. 8626
Author(s):  
Weiya Chen ◽  
Zixuan Kang ◽  
Xiaoping Fang ◽  
Jiajia Li
Keyword(s):  
Reliability And Validity ◽  
Service Condition ◽  
Perceived Quality ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit System ◽  
Urban Rail ◽  
Service Conditions ◽  
Heterogeneous Service

A better understanding of passenger perceived quality helps urban rail transit managers adopt better strategies to improve the service quality of urban rail transit, which is beneficial to the sustainable development of an urban rail transit system itself and cities. This paper designs a semantic scale to survey passenger perceived quality of urban rail transit. The methodology is selecting specific features of an attribute and then describing the features to present the attribute’s service condition and the rider’s experience. The scale’s options can reduce cognitive steps and hesitation for riders to answer the survey questionnaire. Furthermore, it enables urban rail transit managers to understand passenger perceived quality more visually. After verifying the reliability and validity of the semantic scale, an empirical study was conducted to compare the evaluation results of the proposed semantic scale, Likert, and numeric scales. Compared to the Likert and numeric scales, the evaluation result of the semantic scale is fairer for attributes with homogeneous service conditions over operation periods from the transit agency perspective. Meanwhile, it is more homogeneous for attributes with homogeneous service conditions and is more heterogeneous for attributes with heterogeneous service conditions.

scholarly journals Intuitionistic Fuzzy Factorial Analysis Model for Supplier Selection of Urban Rail Transit Companies within a Random Environment

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Hui Sun ◽  
Hanlin Li ◽  
Yuning Wang ◽  
Yufei Yang
Keyword(s):  
Random Environment ◽  
Supplier Selection ◽  
Indicator System ◽  
Urban Rail Transit ◽  
Factorial Analysis ◽  
Rail Transit ◽  
Analysis Model ◽  
Intuitionistic Fuzzy ◽  
Urban Rail ◽  
Selection Of

Facing serious environmental and traffic problems, urban rail transit companies, with the features of large capacity and high efficiency, have become an important choice for many large cities that are prioritizing public transportation and encouraging green travel options. As the construction speed of rail transit projects accelerates, the demand for materials and devices required for construction and operation is also increasing for urban rail transit companies. Therefore, the scientific selection of suppliers to meet construction and operation demands has become a problem that must be addressed. This paper presents an intuitionistic fuzzy factorial analysis model in a random environment, where correlative phenomena among each of the indicators and a random decision-making environment are considered. The evaluation indicator system of rail suppliers is established by considering the influencing factors. The extracted common factors indicate the nature of the studied object in a most direct way. The suppliers are evaluated from the perspective of the number of intuitionistic fuzzy factors and are ranked by their scores. Finally, the Tianjin urban rail transit company is used as a case study to illustrate the validity and feasibility of the method. The results can help urban rail transit companies improve their existing supplier selection method.

scholarly journals Research on Evaluating Algorithms for the Service Quality of Wireless Sensor Networks Based on Interval-Valued Intuitionistic Fuzzy EDAS and CRITIC Methods

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Shihui Li ◽  
Bo Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Service Quality ◽  
Social Life ◽  
Wireless Sensor ◽  
Intuitionistic Fuzzy ◽  
Economic Production ◽  
Multiple Attribute ◽  
Interval Valued

Wireless sensor networks play an important role in economic production and social life. However, in recent years, the number of wireless sensor network vulnerabilities has been increasing rapidly, which makes wireless sensor networks face more and more severe challenges. It is of great significance to realize the quantitative evaluation of wireless sensor networks in order to maintain the service quality of wireless sensor networks more effectively. The evaluating problem of the service quality of wireless sensor networks is a kind of multiple attribute group decision-making (MAGDM) problem. In this paper, depending on the classical EDAS method, the EDAS method will be extended to interval-valued intuitionistic fuzzy sets (IVIFSs) to address some MAGDM issues. At first, some essential concepts of IVIFSs are briefly reviewed. Subsequently, relying on the CRITIC method, the attributes’ weights are decided. Furthermore, integrating the EDAS method with IVIFSs, IVIF-EDAS method is established, and all calculating procedures are depicted. Finally, an empirical application for evaluating the service quality of wireless sensor networks is given to demonstrate this novel algorithm, and some comparative analyses are made to confirm the merits of the designed method.

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